SKILLEMALL.ai

AA achievement-unlock-tracker

Convert recent progress into a game-style achievement board with evidence, rarity, near-unlock targets, and hidden growth signals. Use for weekly or monthly reviews, motivation repair, or milestone reflection.

ClawHub Agent Skills author: haidong v1.0.0 MIT-0 3 files body ≈ 592 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process A 83/100 · Runs to the end — weak spots: progress reporting

GeneratorData and analyticsWriting and documentsPeople and hiringtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
A
83/100
Runs to the end
Progress reporting w 2
0
When it triggers w 12
50
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 83/100

    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 28 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 592 tokens
    • 100Running it twice. No mutating operations
    • low The skill ranks results itself: that belongs to the system behind the tool, not the model

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 209: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 28 items
    • +3Output format is stated explicitly

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    The skill's code, instructions, and requirements are consistent with a purely descriptive 'achievement board' helper and do not request unrelated credentials, write to disk, or call external endpoints.
    LLM: benign (high) · VirusTotal: benign · 15 Apr 2026